The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 07, 2015

Filed:

Sep. 30, 2010
Applicants:

Kangying Cai, Beijing, CN;

Jiheng Yang, Beijing, CN;

Jun Teng, Beijing, CN;

Zhijin Xia, Beijing, CN;

Inventors:

Kangying Cai, Beijing, CN;

Jiheng Yang, Beijing, CN;

Jun Teng, Beijing, CN;

Zhijin Xia, Beijing, CN;

Assignee:

Thomson Licensing, Issy les Moulineaux, FR;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/36 (2006.01); G06K 9/34 (2006.01); G06K 9/62 (2006.01); G06T 17/00 (2006.01); G06T 9/00 (2006.01); G06T 17/10 (2006.01); G06T 15/04 (2011.01);
U.S. Cl.
CPC ...
G06T 17/10 (2013.01); G06T 15/04 (2013.01); G06T 17/00 (2013.01); G06T 9/001 (2013.01);
Abstract

3D models often have a large number of small to medium sized connected components, with small numbers of large triangles, often with arbitrary connectivity. The efficiency of compact representation of large multi-component 3D models can be improved by detecting and representing similarities between components thereof, even if the components are not exactly equal. The invention uses displacement maps for encoding two or more different but similar geometry patterns differentially, based on clustering and a cluster representative surface. A method for encoding a plurality of geometry patterns comprises detecting and encoding identical copies of geometrical patterns, detecting and clustering similar geometry patterns, and detecting partial similarity. The detecting partial similarity comprises generating a cluster representative surface, generating for at least one clustered geometry pattern a displacement map, and encoding the common surface and the displacement maps.


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